Data Operations Engineer at La Fosse, London Area, £375-£425 per day

£375 - £425 per day

Contract Description

Data Operations Engineer – Contract Role


Outside IR35 | £375-425/day | London | Hybrid | Initial 8 Months


We’re supporting a global financial services client in building a brand‑new Data Operations function to support their AWS‑based data platform. This is a hands‑on operational role where you’ll help ensure data quality, reliability, and timely delivery across critical data workflows used by internal and external consumers.


Looking for someone with 3-6 years’ experience in data operations, data quality, reference/market data, or investment data support - someone who enjoys problem‑solving, understanding how data behaves end‑to‑end, and working closely with engineering and business teams to resolve issues.


Key Responsibilities

  • Monitor daily data pipelines and inbound/outbound data feeds across the AWS data platform.
  • Perform SQL-based data validation, reconciliation, and exception handling.
  • Investigate data quality issues (late/missing feeds, schema changes, incorrect values).
  • Support SLA monitoring and ensure timely and accurate delivery of critical datasets.
  • Work closely with upstream vendors and internal engineering teams to resolve data defects.
  • Assist in developing runbooks, operational processes, and documentation to improve BAU workflows.
  • Contribute to operational monitoring enhancements using tools such as Grafana.
  • Support root‑cause analysis to reduce repetitive issues and improve reliability.
  • Communicate data issues clearly to technical and non‑technical stakeholders.


Ideal Candidate

  • 3–6 years’ experience in Data Operations, Data Quality, Reference Data, Pricing Data, or similar FS data roles.
  • Strong understanding of data validation, reconciliation, and ingestion processes.
  • Confident working with SQL to investigate and diagnose data issues.
  • Exposure to AWS data environments (S3, Athena, Glue/MWAA).
  • Experience working with file‑based feeds (SFTP), vendor data, or custodian/market data sources.
  • Detail‑oriented with strong analytical and problem‑solving skills.
  • Comfortable in a fast‑paced environment with daily BAU responsibilities.
  • Clear communicator with the ability to work across engineering, operations, and business teams.
  • Curious, proactive, and eager to deepen their expertise in data operations.


Tech Stack Required

  • SQL
  • AWS
  • DBT
  • Grafana (monitoring/observability)
  • Basic scripting (Python or Bash) preferred


Please apply directly if you are interested!